Data Science and Analytics MSc
Main Campus, Ireland
MSc in Data Science and Analytics
Cork University Business School, University College Cork
Data Science and Analytics
Program Overview: MSc Data Science and Analytics at UCC
The MSc in Data Science and Analytics at University College Cork combines sophisticated computing and statistics modules, developing your skills in database management, programming, modelling, data visualisation, and interpretation of data. Jointly offered by the School of Computer Science and Information Technology and the School of Mathematical Sciences, the programme provides an education in the key principles of this rapidly expanding field.
This innovative programme addresses a rapidly growing opportunity for large-scale data analysis by combining statistical and computing methodologies. It is designed to provide graduates with the skills and knowledge required to help companies and public bodies deal with ever-increasing and complex data, transforming raw information into actionable insights that support decision making.
Students must attain 90 credits through a combination of core modules (30 credits), elective modules (30 credits), and a dissertation (30 credits). The research dissertation gives you the opportunity to investigate applied elements of the disciplines, culminating in an independent research project on a real-world data science challenge.
Key Program Highlights
- Interdisciplinary programme combining Computer Science and Statistics, taught by faculty with PhDs and significant industry experience
- Hands-on training in machine learning, deep learning, data mining, and statistical data analytics with industry-relevant tools
- 30-credit research dissertation allowing you to investigate applied data science problems in collaboration with industry partners
- Located in Cork, Ireland's second city and a European hub for technology companies including Apple, Dell, and Amazon
Curriculum and Modules
The MSc Data Science and Analytics curriculum is structured into 60 credits of taught modules (core and elective) and a 30-credit research dissertation. Core modules provide a strong foundation in data mining, deep learning, statistical analytics, and database technology, while electives allow you to specialise in areas such as artificial intelligence, optimisation, or operations research.
Data Mining
5 ECTSCovers the principles and techniques of extracting meaningful patterns and knowledge from large datasets, including classification, clustering, and association rule mining algorithms.
Deep Learning
5 ECTSExplores neural network architectures and deep learning frameworks, equipping you with skills to design and implement models for tasks such as image recognition, natural language processing, and predictive analytics.
Foundations of Statistical Data Analytics
10 ECTSProvides a comprehensive grounding in statistical methods for data analysis, covering probability theory, hypothesis testing, estimation, and statistical inference essential for data-driven decision making.
Generalised Linear Modelling Techniques
5 ECTSFocuses on generalised linear models including logistic regression, Poisson regression, and other techniques for modelling relationships between variables in complex datasets.
Database Technology
5 ECTSCovers advanced database concepts including relational database design, SQL, data warehousing, and modern database technologies for managing and querying large-scale data systems.
Research Dissertation
30 ECTSAn independent research project that allows you to investigate applied elements of data science and analytics, demonstrating your ability to manage, analyse, and interpret large heterogeneous data sources.
Elective Modules
Admission Requirements
The MSc Data Science and Analytics at UCC welcomes applicants with strong quantitative backgrounds. Candidates are assessed on academic merit, relevant experience, and English language proficiency. Contact Uni4Edu for personalised guidance on your eligibility and application.
Academic Requirements
- Primary RequirementSecond Class Honours Grade I in a primary honours degree (NFQ Level 8) in Computer Science or Mathematical Sciences
- Alternative Academic PathSecond Class Honours Grade I in a primary honours degree (NFQ Level 8) with strong numerate content (e.g. engineering, finance, physics, biosciences, or economics)
- Quantitative ModulesApplicants from non-core disciplines must demonstrate sufficient numerate content with at least a Second Class Honours Grade II in appropriate quantitative modules
- RPL with DegreeApplicants with an undergraduate degree (NFQ Level 8) and a minimum of 5 years of verifiable relevant industrial experience may be considered under Recognition of Prior Learning
- RPL without DegreeApplicants without a primary degree will only be considered with a minimum of 10 years of verifiable relevant industrial experience
English Language Requirements
- IELTSMinimum overall score of 6.5 with no individual band below 5.5 (contact Uni4Edu to confirm current requirements)
- TOEFL iBTMinimum score of 90 (contact Uni4Edu to confirm current requirements)
- PTE AcademicMinimum overall score of 63 (contact Uni4Edu to confirm current requirements)
Required Documents
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
University College Cork awards over 1,000 scholarships and bursaries annually to domestic and international students across all areas of study. Several funding opportunities are available for postgraduate students in the College of Science, Engineering and Food Science. Contact Uni4Edu for personalised scholarship guidance.
SEFS International Student Merit-Based Scholarship
A merit-based award for non-EU students enrolling in taught postgraduate programmes within the College of Science, Engineering and Food Science. The scholarship is automatically applied at the offer stage based on academic achievement.
Government of Ireland International Education Scholarship (GOI-IES)
Full tuition fee waiver plus stipendA prestigious national scholarship awarded to high-calibre international students for one year of full-time Masters study in Ireland. Approximately 60 scholarships are funded annually across all participating Irish institutions.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the MSc Data Science and Analytics at UCC are well positioned for careers across the technology, financial services, consulting, and public sectors. The programme's combination of computational and statistical skills prepares you for advanced roles in today's data-driven economy, with Cork serving as a major European technology hub hosting leading multinational employers.
Typical Graduate Roles
Top Employers in the Region
Rankings and Recognition
University College Cork has steadily climbed in global university rankings, reflecting its growing international reputation for teaching, research, and innovation. UCC is ranked inside the world's top 250 universities, its highest position in ten years, and is recognised as a leader in sustainability and research impact in Ireland.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | QS Subject Rankings | Top 500 (Contact Uni4Edu for current data) |
| Statistics and Operational Research | QS Subject Rankings | Top 400 (Contact Uni4Edu for current data) |
| Business and Management Studies | QS Subject Rankings | Top 150 |
| Mathematics | QS Subject Rankings | Top 400 (Contact Uni4Edu for current data) |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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